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falcon.sol GPU Compute Pricing Comps
x402
falcon.sol GPU Compute Pricing Comps is a paid API for AI agents from falcon-comps.vercel.app, paid per call via x402, $0.04/call, status unknown (last checked 2026-10-31).
Returns real-time GPU compute pricing from RunPod, Modal, Lambda, and CoreWeave for one or more GPU models, with summary statistics and quote percentile benchmarking.
Price / call$0.04
Success—
StatusUnknown
How this service works
falcon.sol: Use this when you need to price GPU compute or check whether a GPU quote is fair. Send GPU models (h100, h200, b200, a100, l40s ...); get listed USD per GPU-hour comps from RunPod, Modal, Lambda and CoreWeave public pricing pages: every offer with tier, terms, source URL and fetched_at, plus min/median/max, cheapest provider, on-demand median and your quote's percentile. Cached hourly; stale data is flagged. $0.04 USDC.
Output
A JSON object containing, per requested GPU model: a list of all available offers (SKU, tier, provider, price in USD/GPU-hr, source URL, fetch timestamp), a summary with min/max/median/offer count/provider count/cheapest provider/on-demand median, plus source freshness metadata (stale flag, cache TTL, oldest source age) and a generated_at timestamp. If a user quote is provided, a percentile rank is included.
Example use cases
Validating a vendor GPU quote
“I got a quote from a GPU cloud vendor for H100s at $4.20 per GPU-hour — can you check falcon.sol's comps and tell me what percentile that falls at and whether I'm overpaying?”
Cheapest provider research for AI training
“We're about to kick off a big training run and need H100s — pull the latest GPU pricing comps from falcon.sol and tell me which provider is cheapest right now and what the on-demand median looks like.”
Infrastructure cost modeling for a startup
“I'm modeling GPU infrastructure costs for our pitch deck — can you get current per-hour pricing comps for H100 and L40S across all major providers from falcon.sol and give me the median figures?”
Technical details
Endpoint
POSThttps://falcon-comps.vercel.app/v1/gpu-comps?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to benchmark or validate GPU compute pricing against live public market rates across RunPod, Modal, Lambda, and CoreWeave. Ideal for procurement decisions, vendor quote validation, infrastructure cost modeling, or any workflow requiring current GPU-hour spot and on-demand pricing data. Prefer this over manual web lookups when you need structured, aggregated, multi-provider pricing with summary statistics in a single call.
Side effects
- Stale data flagged when cache is older than 60 minutes and source hasn't refreshed
- Unsupported GPU model returns no offers
- Provider pricing page unavailable causes missing offers for that provider
- Network timeout from upstream pricing pages may result in partial results
Output
Schema · Response
{
"type": "json",
"example": {
"gpus": [
{
"gpu": "h100",
"offers": [
{
"sku": "H100 PCIe",
"tier": "community_cloud",
"provider": "runpod",
"fetched_at": "2026-10-28T17:37:00Z",
"source_url": "https://www.runpod.io/pricing",
"usd_per_gpu_hr": 1.99
}
],
"summary": {
"max": 6.16,
"min": 1.99,
"median": 3.95,
"offers": 11,
"cheapest": {
"sku": "H100 PCIe",
"tier": "community_cloud",
"provider": "runpod"
},
"providers": 4,
"on_demand_median": 3.04
}
}
],
"unit": "USD per GPU-hour, listed (not transacted) prices",
"sources": [
{
"ok": true,
"url": "https://www.runpod.io/pricing",
"stale": false,
"offers": 38,
"provider": "runpod",
"fetched_at": "2026-10-28T17:37:00Z"
}
],
"freshness": {
"any_stale": false,
"cache_ttl_minutes": 60,
"oldest_source_age_minutes": 12
},
"generated_at": "2026-10-28T17:49:04Z"
}
}Tags
x402
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